Product 4.x

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🐛 Bug Fixes & Improvements v1.0.1

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🔧 Bug Fixes

• Fixed memory leak in data generation engine: Resolved excessive memory usage during prolonged batch operations
• Corrected timezone handling: Fixed date generation issues with different timezone configurations
• Improved error messages: Enhanced validation error reporting for custom data types
• Fixed export functionality: Resolved CSV export formatting issues with special characters

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🚀 Performance Improvements

• Optimized batch processing: Reduced memory footprint by 40% for large datasets
• Faster template loading: Improved template system performance by 25%
• Enhanced caching: Added intelligent caching for frequently used data patterns

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📝 Code Changes

// Fixed memory leak in batch processing
function generateBatchData(size, pattern) {
  const results = [];
  const cache = new Map(); 
  
  for (let i = 0; i < size; i++) {
    if (cache.has(pattern)) { 
      results.push(cache.get(pattern)); 
    } else { 
      const data = generateData(pattern);
      cache.set(pattern, data); 
      results.push(data);
    }
  }
  
  return results;
}

// Previous implementation (memory inefficient)
function generateBatchData(size, pattern) {
  const results = [];
  
  for (let i = 0; i < size; i++) {
    const data = generateData(pattern); 
    results.push(data);
  }
  
  return results;
}

# Improved timezone handling
from datetime import datetime
import pytz

def generate_date_with_timezone(timezone_str):
    try:
        timezone = pytz.timezone(timezone_str) 
        return datetime.now(timezone).strftime('%Y-%m-%d %H:%M:%S %Z') 
    except pytz.UnknownTimeZoneError: 
        return datetime.now().strftime('%Y-%m-%d %H:%M:%S UTC') 

# Previous implementation (timezone issues)
def generate_date_with_timezone(timezone_str):
    return datetime.now().strftime('%Y-%m-%d %H:%M:%S') 

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🔄 Migration Notes

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🎉 DataGenie v1.0.0 Launch

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✨ New Features

• AI-Powered Data Generation: Generate realistic test data using advanced AI models
• Multiple Data Types: Support for strings, numbers, dates, emails, addresses, and custom formats
• Batch Generation: Generate large datasets with configurable batch sizes
• Template System: Save and reuse data generation templates for consistent results
• Export Options: Export generated data in JSON, CSV, and Excel formats

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🔧 Improvements

• Enhanced user interface with intuitive controls
• Real-time preview of generated data
• Improved performance for large-scale data generation
• Better error handling and validation

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Product Snapshots

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🐛 Bug Fixes

• Fixed memory leaks during prolonged data generation sessions
• Resolved issues with date formatting in different timezones
• Corrected validation errors in custom data type definitions

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🚀 Enhanced Data Generation v0.9.5

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✨ New Features

• Custom Data Patterns: Create your own data generation patterns using regex
• Faker.js Integration: Leverage Faker.js library for more realistic data
• Data Validation: Built-in validation to ensure data quality
• Progress Tracking: Monitor generation progress for large datasets

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🔧 Improvements

• 50% faster data generation performance
• Reduced memory usage by 30%
• Enhanced randomization algorithms for better data distribution
• Improved user documentation and examples

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🐛 Bug Fixes

• Fixed issues with special character handling in string generation
• Resolved duplicate data entries in batch generation
• Corrected formatting issues in CSV exports

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🧪 DataGenie Beta v0.8.0

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✨ New Features

• Basic Data Generation: Generate strings, numbers, and basic data types
• Simple UI: Clean and straightforward user interface
• JSON Export: Export generated data in JSON format
• Seed Support: Use seeds for reproducible data generation

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🔧 Improvements

• Stable core generation engine
• Basic error handling and validation
• Responsive design for mobile and desktop

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🐛 Bug Fixes

• Fixed initial setup and installation issues
• Resolved basic UI rendering problems
• Corrected data type conversion errors